Improving contig binning of metagenomic data using d 2 S $$ {d}_2^S $$ oligonucleotide frequency dissimilarity

Improving contig binning of metagenomic data using d 2 S $$ {d}_2^S $$ oligonucleotide frequency dissimilarity

Abstract Background Metagenomics sequencing provides deep insights into microbial communities. To investigate their taxonomic structure, binning assembled contigs into discrete clusters is critical. Many binning algorithms have been developed, but their performance is not always satisfactory, especi...

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Bibliographic Details
Main Authors: Ying Wang, Kun Wang, Yang Young Lu, Fengzhu Sun
Format: Article
Language:English
Published: BMC 2017-09-01
Series:BMC Bioinformatics
Subjects:
Metagenomics
Contig binning
Taxonomy-independent
d 2 S $$ {d}_2^S $$ dissimilarity, k-tuple
Online Access:http://link.springer.com/article/10.1186/s12859-017-1835-1

Internet

http://link.springer.com/article/10.1186/s12859-017-1835-1

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